採用
Benefits & Perks
•401(k) matching
•Team events and activities
•Parental leave
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Parental Leave
•Equity
•Healthcare
•Flexible Hours
Required Skills
Python
JavaScript
TypeScript
About the Role
As the Head of Lat Am Risk, you will lead Uber's largest scaled risk operations team tasked with detecting payment fraud (digital and cash), ATO response, abuse prevention, and policy enforcement across our global marketplaces. You'll partner closely with Regional General Managers, Country General Managers, Risk Leads, Product, Data Science, Policy and Regional Ops to ensure operational execution aligns tightly to the evolving threat landscape and business KPIs.
You will be directly accountable for ensuring that all operational metrics tied to fraud and abuse investigations are consistently met or exceeded. This includes driving vendor performance, maintaining high quality standards, and delivering outcomes within budgeted costs.
What You'll Do:
- Drive the LATAM Risk planning cycle (end to end): You will act as the primary liaison between Product, Decision Science, Local Teams, and Regional Risk Ops to ensure all initiatives are captured, prioritized, and tracked to build a strong roadmap and establish the foundation of key strategic priorities based on regional needs.
- Oversee all Risk KPIs to maintain losses under control: You'll own key P&L metrics such as Chargebacks, DNS, Arrears, Refunds and appeasements/promo/incentive abuse. You'll need to continuously and proactively monitor performance to ensure year-end targets are met. This role requires a deep understanding of LATAM fraud Modus Operandi, ranging from friendly fraud to GPS spoofing, collusion, and merchant fraud among others. Ensuring effective protection across all lines of business is a must.
- Partner with cross-functional teams (including Identity, Safety, and Operations): You'll need to address evolving and multi-layered fraud types that require coordinated solutions. Work quickly, iterate based on feedback, and deliver end to end responses. Positioned close to both frontline operations and strategic leadership, you will translate real-time fraud patterns into actionable improvements to detection and mitigation strategies, serving as the connective link between operational teams and rule creators to keep defenses up to date.
- Establish and operationalize advanced risk mitigation frameworks: You will proactively review our fraud deterrence and detection capabilities, with a strong emphasis on enabling growth through friction reduction, improved accuracy in decisioning, reducing false positives and providing a superior user experience, all achieved without compromising loss thresholds.
- Define regional standards: As a leader, you will define regional/global standards and elevate the overall performance of the team by fostering greater consistency, ensuring ongoing training, maintaining strong motivation, and sharpening focus, ultimately raising the bar for excellence.
- Drive automation initiatives and identify processes that can scale or sunset: In collaboration with Product and DS, you'll identify manual tasks that can be automated without compromising fraud accuracy.
What You'll Need:
- 10+ years experience in scaled operations, risk management, or trust & safety.
- Deep understanding of the Payments and Fraud ecosystem.
- Strong data literacy; can partner deeply with Data Science and Product.
- Experience in KPI ownership (chargebacks, ATO, abuse) and goal setting.
- Ability to navigate cross-functional stakeholder relationships across DS, Ops, Policy, and Engineering.
- Expert SQL proficiency.
- Excellent judgment, critical thinking, and decision-making skills.
- Ability to translate data findings into business strategy.
- Self-motivated with the ability to work independently.
- Ability to work closely with cross-functional stakeholders to execute decisions.
- Strong verbal and written communication, and presentation skills.
- Ambition and enthusiasm to seek opportunities to build value.
-
- Problem-solving
- Able to solve high-complexity problems by using logic, common sense and data not only by identifying the root cause of a problem but also being capable of providing actionable insights and mitigation plans.
- MBA graduate or Bachelor's degree.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
Contact & Location
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Director, Business Development, Digital Partnerships, China
Mastercard · Beipiao, China

Sr. Lead IP/RTL Design Engineer
AMD · Bangalore

Asia Management Reporting Controller - Director (Assistant VP)
Morgan Stanley · Hong Kong

Manager - Oracle EPM - FCCS
Deloitte · Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Denver, CO; Detroit, MI; Houston, TX; Jericho, NY; Jersey City, NJ; Los Angeles, CA; McLean, VA; Minneapolis, MN; Morristown, NJ; New York, NY; Philadelphia, PA; Princeton, NJ; Raleigh, NC; San Diego, CA; San Francisco, CA; Seattle, WA; Washington, DC

Sr. Systems Development Engieer, DSP Tech, Last Mile
Amazon · Hyderabad, TS, IND
About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
News & Buzz
Uber Shares Slip 2% Ahead Of Q4 Earnings As Robotaxi Ties Draw Focus - Eudaimonia and Co
Source: Eudaimonia and Co
News
·
4w ago
Uber Eats Ordered to Pay $3.5 Million Over NYC Delivery Worker Pay - The Wall Street Journal
Source: The Wall Street Journal
News
·
5w ago
Mayor Mamdani Announces $5 Million Settlement, Reinstatement of as Many as 10,000 Wrongfully Deactivated Food Delivery Workers - NYC.gov
Source: NYC.gov
News
·
5w ago
TSD Mobility teams up with Uber for Business to bring on-demand rides directly into the dealership workflow - CBT News
Source: CBT News
News
·
5w ago
